Mediavine is seeking a talented and driven Data Scientist to join our growing team.

About Mediavine

Mediavine is a fast-growing advertising management company representing over 10,000 websites in the food, lifestyle, DIY, and entertainment space. Founded by content creators, for content creators, Mediavine is a Top 20 Comscore property, exclusively reaching over 125 million monthly unique visitors. With best-in-class technology and a commitment to traffic quality and brand safety, we ensure optimal performance for our creators.

Mission & Culture

We are striving to build an inclusive and diverse team of highly talented individuals that reflect the industries we serve and the world we live in. The unique experiences and perspectives of our team members is encouraged and valued. If you are talented, driven, enjoy the pace of a start-up like environment, let’s talk!

Position Title & Overview:

The ideal candidate will have a strong background in predictive modeling, machine learning, and statistical modeling, with a keen interest in applying these skills to influence company-wide strategy and operations. You will work closely with cross-functional teams and use your algorithmic and ML/AI expertise to extract actionable knowledge from large and heterogenous datasets, develop predictive models, and provide insights to drive our business forward.

Essential Responsibilities:

• Develop and implement machine learning models to improve targeting, personalization, revenue generation, and operational efficiencies
• Analyze large, complex datasets to identify trends, patterns, and opportunities for optimization
• Collaborate with executives, product managers, engineers, and other stakeholders to define data requirements and deliver strategic insights
• Conduct algorithmic testing and other experiments to evaluate the effectiveness of different strategies and approaches, influencing marketing and operational decisions
• Create data visualizations and reports to communicate findings to technical and non-technical audiences, including executive leadership
• Provide data-driven recommendations for strategic planning, product development, and operational improvements
• Stay current with industry trends, emerging technologies, and best practices in data science and AdTech to drive continuous improvement